Concept

Loi de probabilité marginale

Publications associées (159)

Boosting word error rates

We apply boosting techniques to the problem of word error rate minimisation in speech recognition. This is achieved through a new definition of sample error for boosting and a training procedure for hidden Markov models. For this purpose we define a sample ...

2005

Boosting word error rates

Samy Bengio, Christos Dimitrakakis

2005

Perfect Simulations for Random Trip Mobility Models

Jean-Yves Le Boudec, Milan Vojnovic, Santashil Palchaudhuri

The random trip model was recently proposed as a generic mobility model that contains many particular mo-bility models, including the widely-known random waypoint and random walks, and accommodates more realistic sce-narios. The probability distribution of ...

2005

Estimates of Parameter Distributions for Optimal Action Selection

Samy Bengio, Christos Dimitrakakis

We present a general method for maintaining estimates of the distribution of parameters in arbitrary models. This is then applied to the estimation of probability distribution over actions in value-based reinforcement learning. While this approach is simil ...

IDIAP2004

Boosting word error rates

Samy Bengio, Christos Dimitrakakis

IDIAP2004

Audio-Video Person Clustering in Video Databases

Jean-Marc Odobez

A methodology towards person clustering in meeting databases is presented in this report. Such goal is generic to a number of problem in computer vision and more specifically in content-based video indexing and retrieval. First, the audio-stream was consid ...

IDIAP2003

To code or not to code

Michael Christoph Gastpar

It is well known and surprising that the uncoded transmission of an independent and identically distributed Gaussian source across an additive white Gaussian noise channel is optimal: No amount of sophistication in the coding strategy can ever perform bett ...

EPFL2002

Estimation of Conditional Distributions using Gaussian Mixture Models

Samy Bengio

This paper proposes the use of Gaussian Mixture Models to estimate conditional probability density functions. A conditional Gaussian Mixture Model has been compared to the geostatistical method of Sequential Gaussian Simulations. The data set used is a par ...

IDIAP2002

Pricing Swaptions within the Affine Framework

Pierre Collin Dufresne

We propose a very fast and accurate algorithm for pricing swaptions when the underlying term structure dynamics are affine. The efficiency of the algorithm stems from the fact that the moments of the underlying asset (i.e., a coupon bond) possess simple cl ...

Columbia Business School2002

Transient analysis of adaptive filters

Ali H. Sayed

This paper develops a framework for the mean-square analysis of adaptive filters with general data and error nonlinearities. The approach relies on energy conservation arguments and is carried out without restrictions on the probability distribution of the ...

IEEE2001

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